Speaker
Thomas Keck
(KIT)
Description
Traditional multivariate methods for classification (Stochastic Gradient Boosted Decision Trees
and Multi-Layer Perceptrons) are explained in theory and practise using examples from HEP.
General aspects of multivariate classification are discussed, in particular different regularisation techniques.
Afterwards, data-driven techniques are introduced and compared to MC-based methods.
